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Information technology for supply chain innovation: a mediated covariance modeling based on dynamic capabilities theory

Information technology is an important supply chain innovation typology that enhances the integration of people, processes and technology. Although there is large body of literature on information technology, supply chain capabilities and supply chain performance, empirical studies on how supply cha...

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Main Authors: Singhry, Hassan Barau, Abd Rahman, Azmawani, Ng, Siew Imm
Format: Conference or Workshop Item
Language:English
Published: 2015
Online Access:http://psasir.upm.edu.my/id/eprint/66808/1/IICIST%202015-7.pdf
http://psasir.upm.edu.my/id/eprint/66808/
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spelling my.upm.eprints.668082019-03-04T00:33:36Z http://psasir.upm.edu.my/id/eprint/66808/ Information technology for supply chain innovation: a mediated covariance modeling based on dynamic capabilities theory Singhry, Hassan Barau Abd Rahman, Azmawani Ng, Siew Imm Information technology is an important supply chain innovation typology that enhances the integration of people, processes and technology. Although there is large body of literature on information technology, supply chain capabilities and supply chain performance, empirical studies on how supply chain innovation capabilities relates with information technology and supply chain performance is unknown. To cover this important research gap, the study proposed hypotheses of mediation effect of supply chain innovation capabilities between information technology and supply chain performance of manufacturing companies of Africa’s largest economy. The study followed post-positivism epistemology based on the ontology of critical realism. A cross-section of 280 top managers of manufacturing companies were examined based on cluster and stratified random sampling. A four-stage regression analysis in two models were performed to test the proposed hypotheses using structural equation modeling (SPSS IBM Amos 22.0). Result in model 1 found a significant relationship between information technology and supply chain performance. The findings in model 2 suggested that the X→M and M→Y regression paths were both significant. The initial positive and significant relationship between information technology and supply chain performance became non-significant with the introduction of supply chain innovation capability as mediator variable. Therefore, it is concluded that supply chain innovation capability is a full mediator between information technology and supply chain performance. 2015 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/66808/1/IICIST%202015-7.pdf Singhry, Hassan Barau and Abd Rahman, Azmawani and Ng, Siew Imm (2015) Information technology for supply chain innovation: a mediated covariance modeling based on dynamic capabilities theory. In: 1st ICRIL-International Conference on Innovation in Science and Technology (IICIST 2015), 20 Apr. 2015, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia. (pp. 700-703).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Information technology is an important supply chain innovation typology that enhances the integration of people, processes and technology. Although there is large body of literature on information technology, supply chain capabilities and supply chain performance, empirical studies on how supply chain innovation capabilities relates with information technology and supply chain performance is unknown. To cover this important research gap, the study proposed hypotheses of mediation effect of supply chain innovation capabilities between information technology and supply chain performance of manufacturing companies of Africa’s largest economy. The study followed post-positivism epistemology based on the ontology of critical realism. A cross-section of 280 top managers of manufacturing companies were examined based on cluster and stratified random sampling. A four-stage regression analysis in two models were performed to test the proposed hypotheses using structural equation modeling (SPSS IBM Amos 22.0). Result in model 1 found a significant relationship between information technology and supply chain performance. The findings in model 2 suggested that the X→M and M→Y regression paths were both significant. The initial positive and significant relationship between information technology and supply chain performance became non-significant with the introduction of supply chain innovation capability as mediator variable. Therefore, it is concluded that supply chain innovation capability is a full mediator between information technology and supply chain performance.
format Conference or Workshop Item
author Singhry, Hassan Barau
Abd Rahman, Azmawani
Ng, Siew Imm
spellingShingle Singhry, Hassan Barau
Abd Rahman, Azmawani
Ng, Siew Imm
Information technology for supply chain innovation: a mediated covariance modeling based on dynamic capabilities theory
author_facet Singhry, Hassan Barau
Abd Rahman, Azmawani
Ng, Siew Imm
author_sort Singhry, Hassan Barau
title Information technology for supply chain innovation: a mediated covariance modeling based on dynamic capabilities theory
title_short Information technology for supply chain innovation: a mediated covariance modeling based on dynamic capabilities theory
title_full Information technology for supply chain innovation: a mediated covariance modeling based on dynamic capabilities theory
title_fullStr Information technology for supply chain innovation: a mediated covariance modeling based on dynamic capabilities theory
title_full_unstemmed Information technology for supply chain innovation: a mediated covariance modeling based on dynamic capabilities theory
title_sort information technology for supply chain innovation: a mediated covariance modeling based on dynamic capabilities theory
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/66808/1/IICIST%202015-7.pdf
http://psasir.upm.edu.my/id/eprint/66808/
_version_ 1643838717460217856
score 13.211869

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